Static Location Estimation Using Event Frequency Weighting
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Solution Overview
Problem
Current methods for estimating the static location of mobile terminals in wireless communication networks are limited in accuracy, as they typically rely on cell centroids, which do not account for complex user behavior and overlapping cell coverage areas.
Innovation Solution
A method that calculates a characteristic static location using a combined measure of event frequencies from multiple cells or sectors, weighting coordinates based on observed event frequencies, dwell time, and cell radii to determine a more accurate and computationally efficient location estimate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cell centroid method is used for location estimation, then the method is simple and computationally efficient, but the location accuracy is limited
Solution Approach 1:
The patent changes the parameter used for location estimation from simple cell centroid coordinates to a weighted combination of coordinates from multiple cells/sectors. The weighting parameter is determined by event frequency, allowing the system to dynamically adjust the contribution of each cell/sector based on observed user behavior patterns, thereby improving location accuracy while maintaining computational efficiency
Solution Approach 2:
Instead of using only the single cell with the highest event frequency (partial action), the patent incorporates coordinates from multiple cells/sectors that have non-zero event frequencies (excessive action). This partial or excessive inclusion of additional data sources improves measurement precision by accounting for overlapping coverage areas and user behavior patterns without significantly increasing computational complexity
2Measurement precision
If multiple cells or sectors are considered for location estimation, then location accuracy improves by accounting for overlapping coverage, but computational complexity increases
Solution Approach 1:
The patent introduces event frequency as a weighting parameter to efficiently combine coordinates from multiple cells/sectors. By using event frequency (number of observed events in a given time interval) as the weighting criterion, the system can quickly determine the relative importance of each cell/sector without requiring complex calculations, thus maintaining high computation efficiency while improving location accuracy
Solution Approach 2:
The patent uses event frequency data, which is already collected and stored in the communication network for other purposes (such as billing and network optimization), as a weighting parameter for location estimation. This copying of existing data avoids the need for additional measurements or complex computations, thereby improving location accuracy without significantly increasing computational burden
Data Source
AI summary
A method, apparatus and computer program are provided for estimating a characteristic static location of a user equipment in a wireless communication network comprising a plurality of network nodes for transmitting radio signals. Each network node has an associated cell corresponding to a predicted geographical coverage area of a corresponding transmitted radio signal. Location event data for the user equipment provides a cell-specific location for the user equipment at a point in time. A plurality of event frequencies is determined for the user equipment, each corresponding to a cumulative number of received location events locating the user equipment in a respective cell/sector in a given time interval. A characteristic static location is calculated using a combined measure of at least two non-zero values of the plurality of event frequencies corresponding respectively to at least two different cells or sectors.